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Machine vision application function
Author:Administrator   Published in:2019-11-08 11:13

Machine vision applications are mainly in the industrial field, which can be applied to product measurement and inspection, robot navigation, identification and other applications, greatly improving the flexibility and automation of production. The development of machine vision technology can be said to open up a "new vision." The main core functions include: positioning, detection, measurement, and identification.

1. Guidance and positioning: Visual positioning requires the machine vision system to quickly and accurately find the part to be tested and confirm its position. The loading and unloading uses machine vision to locate and guide the robot arm to accurately capture. In the field of semiconductor packaging, devices need to adjust the pickup head according to the chip position information obtained by machine vision, accurately pick up the chip and bind it. This is the most basic application of visual positioning in the machine vision industry.

2, appearance inspection: testing the quality of the product on the production line, this link is also the most replaced manual. For example, in the field of medicine involved in machine vision, the main tests include inch detection, bottle body appearance defect detection, bottle shoulder defect detection, bottle mouth detection and the like.

3. Dimensional measurement: The acquired image pixel information is calibrated into commonly used measurement and measurement units, and then the geometric size that needs to be known is accurately calculated in the image. The advantage lies in the measurement of high precision, high throughput and complex morphology. For example, some products have high precision, reaching 0.01~0.02m or even u, which cannot be detected by the human eye and must be completed by machine.

4. Recognition: It is the use of machine vision to process, analyze and understand images to identify targets and objects of different modes. Data traceability and collection can be achieved, and there are many applications in auto parts, food, and medicine.

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In machine vision, the defect detection function is one of the most widely used functions of machine vision, and mainly detects various information on the surface of the product. In modern industrial automation production, each process in continuous mass production has a certain defect rate. Although the ratio is small, it is difficult for the enterprise to increase the yield bottleneck after multiplication. The cost of rejecting the defective product will be much higher (for example, if there is a positioning deviation in the solder paste printing process, and the problem is not discovered until the online test after the chip is mounted, the cost of the repair will be more than 100 times the original cost). Therefore, timely detection and defective product rejection are very important for quality control and cost control, and also an important cornerstone for further upgrading of the manufacturing industry.


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